Even for 2L records the MySQL will be better. Regards, Sandeep Giri, +1-253-397-1945 (US) +91-953-899-8962 (IN) www.KnowBigData.com. <http://KnowBigData.com.>
[image: linkedin icon] <https://linkedin.com/company/knowbigdata> [image: other site icon] <http://knowbigdata.com> [image: facebook icon] <https://facebook.com/knowbigdata> [image: twitter icon] <https://twitter.com/IKnowBigData> <https://twitter.com/IKnowBigData> On Fri, Jul 10, 2015 at 9:54 AM, vinod kumar <vinodsachin...@gmail.com> wrote: > For records below 50,000 SQL is better right? > > > On Fri, Jul 10, 2015 at 12:18 AM, ayan guha <guha.a...@gmail.com> wrote: > >> With your load, either should be fine. >> >> I would suggest you to run couple of quick prototype. >> >> Best >> Ayan >> >> On Fri, Jul 10, 2015 at 2:06 PM, vinod kumar <vinodsachin...@gmail.com> >> wrote: >> >>> Ayan, >>> >>> I would want to process a data which nearly around 50000 records to 2L >>> records(in flat). >>> >>> Is there is any scaling is there to decide what technology is >>> best?either SQL or SPARK? >>> >>> >>> >>> On Thu, Jul 9, 2015 at 9:40 AM, ayan guha <guha.a...@gmail.com> wrote: >>> >>>> It depends on workload. How much data you would want to process? >>>> On 9 Jul 2015 22:28, "vinod kumar" <vinodsachin...@gmail.com> wrote: >>>> >>>>> Hi Everyone, >>>>> >>>>> I am new to spark. >>>>> >>>>> Am using SQL in my application to handle data in my application.I have >>>>> a thought to move to spark now. >>>>> >>>>> Is data processing speed of spark better than SQL server? >>>>> >>>>> Thank, >>>>> Vinod >>>>> >>>> >>> >> >> >> -- >> Best Regards, >> Ayan Guha >> > >
